Skip to content
View armagankaymaz's full-sized avatar
🎯
Focusing
🎯
Focusing
0 followers · 6 following

Highlights

  • Pro

Block or report armagankaymaz

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
armagankaymaz/README.md

Hi, I'm Armağan Kaymaz 👋

I'm a Master's student in Management and Data Science with a strong passion for machine learning and film & television. I have hands-on experience in data analysis, KPI reporting, and optimization problems.

🌱 What I'm currently working on:

  • Exploring recommender systems to improve user experiences
  • Various deep learning exercises
  • Optimizing school bus routes using machine learning: Project Repo

⚡ Skills:

  • Languages: Python (scikit-learn, PyTorch), SQL, R
  • Tools: Tableau, MicroStrategy, GitHub, Jira
  • Technologies: Machine Learning, Data Analysis, Forecasting

📫 How to reach me:

Pinned Loading

  1. Leuphana_Deep_Learning Leuphana_Deep_Learning Public

    This module covers deep neural networks, perceptrons, multi-layer perceptrons, backpropagation, autoencoders, GANs, LSTMs, deep reinforcement learning, etc.

    Python

  2. ITU-CE-MSc ITU-CE-MSc Public

    Forked from nlztrk/ITU-CE-MSc

    Jupyter Notebook

  3. Leuphana_FS Leuphana_FS Public

    Theories and practical applications of statistical and machine learning methods for predicting and simulating temporal data, including time-series forecasting and data modeling.

    Jupyter Notebook

  4. master_thesis_idea master_thesis_idea Public

    Forked from Viktoriia-Dasci/master_thesis

    This repository contains code for training and evaluating models for different MRI modalities (t1, t1ce, t2, flair, and stack) and performing explainability analysis using Grad-CAM, Guided Grad-CAM…

    Python